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LLM Workshop : OpenAI and Langchain Jupyter Notebook

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LLM Workshop Materials by Aron Brand

Introduction

Welcome to the GitHub repository containing the accompanying materials for Aron Brand's Large Language Model (LLM) Workshop. This workshop is designed to delve into and harness the capabilities of large language models, offering a comprehensive understanding of their functioning, applications, and intricacies.

Sylabus

This workshop covers the following topics:

1. Understanding LLMs

2. Context Length: The 'RAM' of the Model

3. Limitations of LLMs

4. Use Cases of LLMs

5. Prompting: 'Programming' with System Prompts

6. Fine-Tuning LLMs

7. Semantic Search

8. RAG: Retrieval Augmented Generation

9. Advanced RAG Techniques

10. Tools and Agents for LLMs

License

This project is licensed under the GNU General Public License.


Enjoy exploring the fascinating world of Large Language Models!

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LLM Workshop : OpenAI and Langchain Jupyter Notebook

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